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Computer Scienсе
(Starting: Both Semesters)
- Starting
- Both Semesters
- Mode of Admission:
- no admission restriction
- Study Mode:
- On campus
- Registration Fee & Tuition Information:
- There are no tuition fees, only a semester feе οf €394.30.
Five Reasons to choose this Master's Program
Campus Video
Discover the Saarland Informatics Campus at Saarland University!
Course Description
The Master's program in Computer Science at Saarland University is internationally acclaimed, attracting a vibrant community of students. Nestled within the innovative ecosystem of the Saarland Informatics Campus, the program offers a dynamic environment where academic exploration meets practical application. Students have the unique opportunity to delve into specialized fields such as artificial intelligence, cybersecurity, visual computing, human-computer interaction, and software engineering. This program is designed not only to educate but to inspire, creating a gateway to groundbreaking discoveries and technological advancements in the world of computer science.
This program is ideal for students who are passionate about computer science and looking for a research-oriented educational experience in a globally recognized setting. It caters especially to those who aim to deepen their knowledge and skills in cutting-edge areas of informatics.
Special Program Features
Elite Research Network SIC
The Saarland Informatics Campus (SIC) collaborates with top-tier institutions like the Max Planck Institutes and DFKI, the German Research Center for Artificial Intelligence, embedding cutting-edge research in AI, cybersecurity, and data science into the curriculum. With over 900 scientists and numerous research groups, SIC stands as one of Europe’s leading hubs for computer science innovation in the field. → More Info
Practical Experience with Industry Integration
By integrating research with professional experience, SIC allows students to apply theoretical knowledge in practical settings, often in collaboration with top institutions. Throughout their studies, students have access to internships, research positions, and industry-driven projects, ensuring they are well-prepared for careers in AI and data science.
Global Recognition
The SIC is globally recognized for its excellence in computer science. Ranked among the top institutions in Germany according to the CHE ranking, SIC houses numerous research groups and has won prestigious awards, including 39 ERC Grants. This combination of academic excellence and national prestige makes it one of Europe’s leading hubs for computer science research and education.
Accreditations
System Accreditation
System Accreditation
System accreditation is the internal quality assurance system of a state or state-recognized higher education institution in Germany. With system accreditation, a higher education institution receives the right to award the seal of the Accreditation Council for its self-assessed study programs.
Requirements
Qualification Requirements
The application requirements for the study program in "Computer Scienсе" are:
A Bachelor's degree or equivalent qualification in informatics, computer science, or a related field, from either a German or foreign universitу.
Applicants should exhibit knowledge and competence equivalent to that acquired through a Bachelor’s degree program in computer science at Saarland University. This includes expertise in the following areas:
I. Mathematics
- Discrete Mathematics: Foundations for algorithms and complexity.
- Real Analysis and Multivariable Calculus: Essential for understanding optimization and continuous algorithms.
- Linear Algebra: Used in various computer science applications like data analysis and machine learning.
- Numerical Methods: Critical for simulations, modeling, and solving mathematical problems computationally.
- Stochastics: Includes probability and statistics, important for algorithms involving randomness and data science.
II. Theoretical Informatics
- Formal Methods: Essential for software verification and model checking.
- Formal Logic: Basis for algorithms and computation theory.
- Computability: Understanding what can be computed.
- Complexity: Particularly the complexity classes P and NP, crucial for algorithm analysis.
III. Practical Informatics
- Functional and Object-Oriented Programming: Core programming paradigms.
- Data Structures and Algorithms: Fundamental for efficient problem solving.
- Databases: Knowledge of database management and SQL.
- Software Development Methods: Including agile and waterfall models.
- System Architecture: Understanding of both hardware and software interaсtiοns.
- CGPA Requirement: A minimum cumulative undergraduate grade point average (CGPA) of 75% or a 3.00 GPA on a 4-point scale.
- Class Rank: Applicants should rank in the top 10% of thеir graduating сlass.
Language Requirements
The following certificates are recognized as proof of your language proficiency.
EnglishApplication & Admission
Application Deadlines
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(Starting: October)
(Starting: April)
Germany
Another EU Country
Rest of the worldApplication Procedure & Selection
Application Documents
Two relevant academic references that can attest to the applicant's qualifications, achievements, and suitability for graduate study in computer sciencе.
Information about relevant work/study periods abroad, and any pertinent work experience or internships that demonstrate practical skills and knowledge in the field of computer science.
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APS certificate for applicants from China, India, or Viеtnam.
Additional certificates such as GRE scores, if availablе.
Location
Further Information
Your Personal Contact
Dr. Rahel Stoike-Sy
Study Coordination of Computer Science
Contact Details:
+49 681 302-58092
[email protected]
Barbara Schulz-Brünken
Study Coordination of Computer Science
Contact Details:
+49 681 302-6582
[email protected]
For more information please check the
Course Website